Digital methods such as text and data mining are utilised more and more frequently to gather knowledge, thereby offering the ability to recognise patterns in large data sets as well as being the basis of machine learning. This work examines this digital method from a copyright perspective, evaluating the significance and controlling effect of copyright barriers, the special interests involved in scientific copyright law and elements of interdisciplinary knowledge. This comprehensive analysis structures this complex legal matter, identifies deficits and suggests viable solutions. One focus lies on the long-term accessibility of the research data that are generated within this process.
Allianz der deutschen Wissenschaftsorganisationen, Stellungnahme der Allianz der deutschen Wissenschaftsorganisationen zum "Entwurf eines Gesetzes zur An gleichung des Urheberrechts an die aktuellen Erfordernisse der Wissensgesell schaft" des BMJV, 22. 02. 2017, abrufbar unter: https://www.bmj.de/SharedDocs /Gesetzgebungsverfahren/DE/UrhWissG.html. Allianz der deutschen Wissenschaftsorganisationen, Stellungnahme zum Referenten entwurf zur Anpassung des Urheberrechts an die Erfordernisse des digitalen Binnenmarkts, 5. 11. 2020, abrufbar unter: https://www.bmj.de/SharedDocs/Ge setzgebungsverfahren/DE/Gesetz_Anpassung-Urheberrecht-dig-Binnenmarkt.h tml.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.